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Waveband selection and algorithm development to distinguish fecal contamination using multispectral imaging with solar light

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2016 ASABE Annual International Meeting  162461723.(doi:10.13031/aim.20162461723)
Authors:   Colm D Everard, Moon S Kim, Colm P O’Donnell
Keywords:   Field spectroscopy, fecal contamination, multispectral imaging, waveband selection.

Abstract.

. Fecal contamination in fresh produce fields caused by animals or livestock entering the fields can lead to outbreaks of foodbourne illnesses. E.coli O157:H7 originating in the intestines of animals can transfer onto leafy greens via fecal matter. Leafy greens are often eaten fresh without thermal treatments such as cooking which may kill pathogenic bacteria. Therefore, there is a need to identify fecal contamination in the produce field to allow the producer to take steps to prevent contaminated produce reaching the consumer. In this study, spectral features of fecal matter, spinach leaves, and soil were recorded from 368-1048 nm. A multispectral imaging device, utilizing a two waveband algorithm was successfully used to detect fecal contamination on Holtville soil.

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